A data science project to segment and classify customer shopping behavior using K-Means, Hierarchical Clustering, SVM, and KNN, with insights for targeted marketing strategies.

A machine learning project to predict movie revenue using CNN, DNN, and XGBoost, with an interactive Streamlit app for filmmakers and data enthusiasts.